History of terms type 1 error and type 2 error? The terms "type I" (or "alpha) and "type II" (or "beta) error, to denote false positive and false negative, are often used. What is the history of those terms?
 A: Neyman and Pearson were the pioneers in formulating the integral framework of the modern theory of hypothesis testing that we are acquainted with. While I cannot assert with absolute certainty, it is plausible their works were instrumental in developing or, for the matter, popularising the nomenclatures in question.
From [I]:

From [II]:

From [III]:


References:
[I] J. NEYMAN, PH.D, E. S. PEARSON, D.Sc, ON THE USE AND INTERPRETATION OF CERTAIN TEST CRITERIA FOR PURPOSES OF STATISTICAL INFERENCE PART I, Biometrika, Volume 20A, Issue 1-2, December 1928, Pages 175–240, https://doi.org/10.1093/biomet/20A.1-2.175.
[II] IX. On the problem of the most efficient tests of statistical hypotheses,
Jerzy Neyman, Egon Sharpe Pearson, 16 February 1933, https://doi.org/10.1098/rsta.1933.0009.
[III] Neyman, J., & Pearson, E. (1933). The testing of statistical hypotheses in relation to probabilities a priori. Mathematical Proceedings of the Cambridge Philosophical Society, 29(4), 492-510. doi:10.1017/S030500410001152X.
